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HBaseCon 2012 | Storing and Manipulating Graphs in HBase

by on May 30, 2012

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Google’s original use case for BigTable was the storage and processing of web graph information, represented as sparse matrices. However, many organizations tend to treat HBase as merely a “web ...

Google’s original use case for BigTable was the storage and processing of web graph information, represented as sparse matrices. However, many organizations tend to treat HBase as merely a “web scale” RDBMS. This session will cover several use cases for storing graph data in HBase, including social networks and web link graphs, MapReduce processes like cached traversal, PageRank, and clustering and lastly will look at some lower-level modeling details like row key and column qualifier design, using FullContact’s graph processing systems as a real-world use case.

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HBaseCon 2012 | Storing and Manipulating Graphs in HBase HBaseCon 2012 | Storing and Manipulating Graphs in HBase Presentation Transcript